Open AccessReliability evaluation of power system considering wind generators coordinated with multi‐energy storage systems
Author(s) -
Oh Ungjin,
Lee Yeonchan,
Choi Jaeseok,
Karki Rajesh
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6071
Subject(s) - electric power system , wind power , reliability engineering , reliability (semiconductor) , turbine , probabilistic logic , energy storage , installation , monte carlo method , engineering , steam turbine , power (physics) , automotive engineering , computer science , electrical engineering , mechanical engineering , statistics , physics , mathematics , quantum mechanics , artificial intelligence
This study proposes a new methodology for a probabilistic power system reliability evaluation using a Monte Carlo simulation in case of multi‐energy storage system (ESS) installed at wind farms. A large‐scale wind turbine generator (WTG) creates significant power fluctuations and effect the stability, frequency control, and then reliability of the power system. A high penetration of wind farms can result in unacceptable variations in the frequency and voltage in the power system. The significant power fluctuation impact of the WTG can, however, be reduced by installing an ESS. The proposed model can facilitate the reliability analysis and evaluation in a viewpoint of the contribution of each ESS installed at multiple wind farms integrated to a power system. The proposed method can also be used to assess the reasonable capacity of an ESS in the power system from a sensitivity analysis. A case study is demonstrated for the proposed model and methodology using a power system with similar size to the one in Jeju Island, South Korea.